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Multimedia Forensics
Image Provenance Analysis at Scale
Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of …
D. Moreira
,
A. Bharati
,
J. Brogan
,
A. Pinto
,
M. Parowski
,
K. W. Bowyer
,
P. J. Flynn
,
A. Rocha
,
W. J. Scheirer
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DOI
Provenance filtering for multimedia phylogeny
Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny …
A. Pinto
,
D. Moreira
,
A. Bharati
,
J. Brogan
,
K. Bowyer
,
P. Flynn
,
W. Scheirer
,
A. Rocha
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DOI
Spotting the difference: Context retrieval and analysis for improved forgery detection and localization
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and …
J. Brogan
,
P. Bestagini
,
A. Bharati
,
A. Pinto
,
D. Moreira
,
K. Bowyer
,
P. Flynn
,
A. Rocha
,
W. Scheirer
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DOI
U-Phylogeny: Undirected provenance graph construction in the wild
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny …
A. Bharati
,
D. Moreira
,
A. Pinto
,
J. Brogan
,
K. Bowyer
,
P. Flynn
,
W. Scheirer
,
A. Rocha
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DOI
VII Escola Regional de Informática de Minas Gerais
An astonishing number of digital documents, such as digital pictures, videos, text files, etc., are daily produced and broadcasted. …
Tiago Carvalho
,
A. Pinto
,
E. Silva
,
F. O. Costa
,
G. R. Pinheiro
,
A.Rocha
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